//
// svm_model
//
package svm.libsvm;

public class svm_model implements java.io.Serializable
{
   public svm_parameter param;	// parameter
   public int nr_class;		// number of classes, = 2 in regression/one class svm
   public int l;			// total #SV
   public svm_node[][] SV;	// SVs (SV[l])
   public double[][] sv_coef;	// coefficients for SVs in decision functions (sv_coef[k-1][l])
   public double[] rho;		// constants in decision functions (rho[k*(k-1)/2])
   public double[] probA;         // pariwise probability information
   public double[] probB;
   
   // for classification only
   
   public int[] label;		// label of each class (label[k])
   public int[] nSV;		// number of SVs for each class (nSV[k])
   // nSV[0] + nSV[1] + ... + nSV[k-1] = l
};
